Network Science 2021/2022
Videos
Quick links to videos from previous editions of the course
- Chapter 1 - Fundamentals of Network Science
- Motivation and the "small world" phenomenon [23m36s]
- Emergence of Network Science [36m33s]
- Brief Introduction to Graph Theory and Network Vocabulary [35m33s]
- Chapter 2 - Measuring Networks and Random Graph Models
- Measuring Graphs and Results on Real Networks [54m27s]
- Erdös-Renyi Random Graph Model [56m39s]
- Small-World Random Graph Model [29m11s]
- Power Laws and Preferential Attachment [1h35m09s]
- Chapter 3 - Node Centrality
- Node Centrality [1h10m49s]
- Chapter 4 - Link Analysis and PageRank
- Link Analysis and PageRank [1h44m03s]
- Chapter 5 - Graph Visualization and Exploration with Gephi
- Gephi Tutorial [41m11s]
- Chapter 6 - Roles and Community Structure in Networks
- Roles and Community Structure in Networks [1h37m39s]
- Chapter 8 - Subgraphs as Fundamental Ingredients of Complex Networks
- Chapter 9 - Diffusion and Cascading Behavior
- Diffusion and Cascading Behavior - Part 1 (Decision Based Models) [58m59s]
- Diffusion and Cascading Behavior - Part 2 (Probabilistic Models) [1h29m38s]
- Chapter 10 - Network Construction
- Network Construction [1h34m41s]